Answers are grounded in this paper and cite their sources.
Evaluation of inter-rater reliability shows that AI and laypeople can match expert ratings, suggesting potential for broader application.
This paper introduces a simple approach for assessing whether laypeople or AI-based automations can adequately substitute for expert ratings in the evaluation of AI-powered Q&A systems It employs weighted Cohen’s Kappa to assess inter-rater reliability, establishing an expert agreement benchmark and comparing this to individual alternative rater-expert agreements. By visualizing these results in an inter-rater reliability matrix, it is a transparent and structured way to determine the adequacy of non-expert raters. Our findings, based on a real project, suggest that laypeople or AI, in some cases, can match or exceed expert agreement, particularly when risk aversion is a factor. The approach can be adapted to different contexts and rating attributes.
No takes yet. Share an insight, caveat, or question.
Zwanzig et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: